As the nonnegative orthant is a closed and convex subset of \(\mathbb {R}^n\)  and the function \(TER\)  is strongly smooth and convex, the pricing agent is able to improve the rate of convergence for clearing the market. The acceleration of first order methods was first introduced in [1]}. We suggest the following pricing scheme, which is an application of the fast proximal gradient method presented in [2]}.
